Collaboration with Dr. Mark Yin-Mao Wang (NTU).
This project attempts to evaluate what WRF configurations best emulate the temporal evolution boundary layer (BL) height in a Taiwanese urban region. Model configurations deemed suitable will be used to produce daily BL height forecasts that inform public air quality-related decision making.
My task in this project is to design a prototype of a BL height identification algorithm from lidar observations. BL heights in lidar observations can be defined as the interface between the aerosol-rich BL air and the cleaner free troposphere aloft. Wavelet-based method is shown to over-perform gradient method in identifying such interfaces.
Very preliminary results show that WRF successfully depict BL evolution in certain days, but not others. Future work will focus on understanding the meteorological differences between successful and unsuccessful days.
This project attempts to evaluate what WRF configurations best emulate the temporal evolution boundary layer (BL) height in a Taiwanese urban region. Model configurations deemed suitable will be used to produce daily BL height forecasts that inform public air quality-related decision making.
My task in this project is to design a prototype of a BL height identification algorithm from lidar observations. BL heights in lidar observations can be defined as the interface between the aerosol-rich BL air and the cleaner free troposphere aloft. Wavelet-based method is shown to over-perform gradient method in identifying such interfaces.
Very preliminary results show that WRF successfully depict BL evolution in certain days, but not others. Future work will focus on understanding the meteorological differences between successful and unsuccessful days.
Testing codes (messy! not ready for public use!):
https://github.com/freddy0218/NTU_CL31_test
https://github.com/freddy0218/NTU_CL31_test
